{"id":"W4285377704","doi":"10.36227/techrxiv.12885044","title":"Link Budget Analysis for Reconfigurable Smart Surfaces in Aerial Platforms","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz University","keywords":"RSS; Computer science; Context (archaeology); Footprint; Link budget; Wireless; Channel (broadcasting); Computer network; Real-time computing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004531568,0.0002931623,0.0007888961,0.000351169,0.00002721995,0.0001385451,0.0007170014,0.0004150389,0.0002521687],"category_scores_gemma":[0.00006850923,0.0002903442,0.0002489452,0.0005277746,0.00001568694,0.00006585109,0.0001501365,0.0004689079,0.00008059612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152862,"about_ca_system_score_gemma":0.00004847455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004791348,"about_ca_topic_score_gemma":0.002259503,"domain_scores_codex":[0.998524,0.00002605021,0.0006762274,0.0003624664,0.0001455413,0.0002657358],"domain_scores_gemma":[0.9984574,0.0002380231,0.0001082246,0.001032847,0.00007330871,0.00009022777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009023005,0.00003039507,0.01394878,0.00172911,0.003713172,0.000003615347,0.002181236,0.9615607,0.003171645,0.0008862151,0.003090211,0.009594663],"study_design_scores_gemma":[0.0009467195,0.00003266392,0.004917536,0.0001748533,0.0003515007,0.000001177754,0.0003563007,0.7873103,0.01032326,0.003386907,0.1909818,0.001216989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5694116,0.01649569,0.09826761,0.005287991,0.0120021,0.00980317,0.001362815,0.00654765,0.2808214],"genre_scores_gemma":[0.9906628,0.001238158,0.005859368,0.00005618407,0.0002349209,0.0003601894,0.0009050386,0.00007385976,0.0006094514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4212513,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06229689606522533,"score_gpt":0.2742724463314422,"score_spread":0.2119755502662168,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}